What are the hardware requirements for Mistral7b Ocr To Json V1?

Mistral7b Ocr To Json V1 requires approximately 14.4 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Mistral7b Ocr To Json V1 and how large is it?

Mistral7b Ocr To Json V1 is developed by mychen76, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Mistral7b Ocr To Json V1?

Mistral7b Ocr To Json V1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mistral7b Ocr To Json V1 by mychen76 — VRAM 14.4GB, 32K context

Name: Mistral7b Ocr To Json V1
Rating: 4 (1 reviews)
Author: mychen76

Mistral7b Ocr To Json V1 is an open-source language model by mychen76. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.09.

Dataset:dataset1 Dataset:dataset2 Endpoints compatible Mistral Pytorch Region:us Safetensors Sharded Tag1 Tag2 Tensorflow

Model Card on HF 🤗: https://huggingface.co/mychen76/mistral7b_ocr_to_json_v1

Mistral7b Ocr To Json V1 Parameters and Internals

Model Type

OCR to JSON

Use Cases

Areas:

Retail, Data Processing

Applications:

Invoice to JSON conversion, Receipt parsing

Primary Use Cases:

Convert OCR text to structured JSON objects for receipts

Additional Notes

This model leverages outputs from OCR engines for efficient image-to-text use cases.

Supported Languages

English (high proficiency), German (tested)

Training Details

Data Sources:

mychen76/invoices-and-receipts_ocr_v1

Methodology:

Finetuned to convert OCR text to JSON objects.

Model Architecture:

Based on Mistral-7B-v0.1, finetuned for OCR to JSON conversion.

Input Output

Input Format:

OCR image results

Accepted Modalities:

text

Output Format:

JSON object

LLM Name	Mistral7b Ocr To Json V1
Repository 🤗	https://huggingface.co/mychen76/mistral7b_ocr_to_json_v1
Model Size	7b
Required VRAM	14.4 GB
Updated	2026-07-09
Maintainer	mychen76
Model Type	mistral
Model Files	9.9 GB: 1-of-2 4.5 GB: 2-of-2 9.9 GB: 1-of-2 4.5 GB: 2-of-2
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.35.0.dev0
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Mistral7b Ocr To Json V1 capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Quantized Models of the Mistral7b Ocr To Json V1

Model	Likes	Downloads	VRAM
...cr To Json V1 HQQ 4bit Smashed	0	5	4 GB
...cr To Json V1 Bnb 4bit Smashed	0	5	4 GB

Best Alternatives to Mistral7b Ocr To Json V1

Best Alternatives	Context / RAM	Downloads	Likes
...Nemo Instruct 2407 Abliterated	1000K / 24.5 GB	220	20
MegaBeam Mistral 7B 512K	512K / 14.4 GB	8470	54
SpydazWeb AI HumanAI RP	512K / 14.4 GB	16	1
SpydazWeb AI HumanAI 002	512K / 14.4 GB	18	1
...daz Web AI ChatML 512K Project	512K / 14.5 GB	12	0
MegaBeam Mistral 7B 300K	282K / 14.4 GB	3779	16
MegaBeam Mistral 7B 300K	282K / 14.4 GB	8018	17
Hebrew Mistral 7B 200K	256K / 30 GB	23	15
Astral 256K 7B	250K / 14.4 GB	9	0
Astral 256K 7B V2	250K / 14.4 GB	8	0

Note: green Score (e.g. "73.2") means that the model is better than mychen76/mistral7b_ocr_to_json_v1.